For the longest time, Nvidia was known for producing the best graphics cards in the computer business. Any serious gamer would have had to invest in an Nvidia graphics card to play visually-intensive video games.
Now, when you take a look at the company, you can see that Nvidia has come a long way from what it used to be - a company that catered to gamers, architects, and any other graphics-intensive users.
Let's take a look at what Nvidia is currently involved in:
1) Artificial Intelligence
2) Autonomous Vehicle Development
3) AI at the factory level
4) Machine vision
5) AI at the enterprise level.
Multiple partnerships with different companies has allowed Nvidia to develop products that are in high demand.
What are some of the companies partnerships?
- Nvidia has partnered with Baidu and TomTom to develop self-driving vehicles. With the use of Nvidia's Drive PX2 GPU, the partners will work to build a completely autonomous driving system.
- Nvidia's partnership with IBM allows the company to produce AI computing packages geared towards the enterprise level. Computing capabilities are enabled by the POWER8 and NVIDIA Tesla P100 server.
- SAP is currently using the NVIDIA DGX-1 supercomputer to develop machine learning enterprise solutions.
- By partnering with Hikvision, Nvidia plans on breaking into the video camera and surveillance market.
- Nvidia also has interests in AI products at the manufacturing/factory level. At some point in time, even complex repetitive tasks will be handled by robots.
- Nvidia is still one of the biggest players in the graphics market. Their Quadro graphics card was used to develop visual art for the movie, the Martian. Besides their graphics cards, GeForce GTX GPUs and GeForce Experience applications are used to by over 200 million gamers worldwide.
One of the reasons we are interested in Nvidia is that, compared to some of the other players in the AI market, Nvidia is taking a completely different approach to the hardware behind AI. Intel is also invested in the AI market, and has already taken the plunge with its 2015 purchase of FPGA manufacturer, Altera.
Nvidia isn't relying on FPGA to power the hardware behind their AI. Instead, they are using GPUs.
During the next few years, it'll be interesting to see which hardware will be preferred by users, an FPGA or a GPU.
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